Direct sequence-to-sequence EMG-to-text conversion for silent articulation using a geometric representation of high-dimensional signals, without audio targets or time-alignment.
Classification of covariance matrices using a riemannian-based kernel for bci applications.Neurocomput., 112:172–178, July 2013
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Non-invasive electromyographic speech neuroprosthesis: a geometric perspective
Direct sequence-to-sequence EMG-to-text conversion for silent articulation using a geometric representation of high-dimensional signals, without audio targets or time-alignment.